We use the autoregressive distributed lag (ARDL) bounds approach to cointegration in order to investigate the short and long-run relationship between per capita CO2 emission, GDP, renewable and non-renewable energy consumption and trade openness for Tunisia during the period 1980-2009. The Fisher-statistic for cointegration is established when CO2 emission is defined as a dependent variable. The stability of coefficients in the long and short-run is examined. Short-run Granger causality suggests that there is a one way causality relationship from economic growth and trade openness (exports and imports) to emissions, whereas there is no causality running from renewable and non-renewable energy consumption to emissions. The results from the long-run relationship suggest that non-renewable energy consumption contributes positively in explaining CO2 emission (for both models), whereas renewable energy affects CO2 emission negatively (for the model with exports). The contribution of trade openness is positive and statistically significant in the long-run. The Environmental Kuznets Curve (EKC) that assumes an inverted U-shaped relationship between per capita CO2 emissions and output is not supported in the long-run. This means that Tunisia has not yet reached the required level of per capita GDP to get an inverted U-shaped EKC.

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